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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICYCSEE 2016: Social Computing pp 668–677Cite as

The Software Behavior Trend Prediction Based on HMM-ACO

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

Abstract

For the HMM exists defects in application in the aspect of software behavior prediction, namely, HMM could trap into local optimization because of the problem of B-parameter, which results in the decrease of HMM’s precision. This paper builds a new model HMM-ACO through combining Ant Colony Optimization (ACO) algorithm with HMM, with system calls as the data source, improving the prediction accuracy rate of HMM. In order to eliminate the HMM’s reflection on observations characteristics, this paper puts forward a new approach to recognize software behavior with hidden states.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China

    Ziying Zhang & Dong Xu

  2. College of Automation, Harbin Engineering University, Harbin, Heilongjiang, China

    Xin Liu

Authors
  1. Ziying Zhang
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  2. Dong Xu
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  3. Xin Liu
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Corresponding author

Correspondence to Ziying Zhang .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology , Harbin, China

    Wanxiang Che

  2. Harbin Engineering University , Harbin, China

    Qilong Han

  3. Harbin Institute of Technology , Harbin, China

    Hongzhi Wang

  4. Northeast Forestry University , Harbin, China

    Weipeng Jing

  5. National University of Defense Technology , Changsha, China

    Shaoliang Peng

  6. Harbin Engineering University , Harbin, China

    Junyu Lin

  7. Harbin Univ. of Science and Technology , Harbin, China

    Guanglu Sun

  8. Harbin Univ. of Science and Technology , Harbin, China

    Xianhua Song

  9. Harbin Engineering University , Harbin, China

    Hongtao Song

  10. Harbin Sea of Clouds & Computer Tech. , Harbin, China

    Zeguang Lu

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© 2016 Springer Science+Business Media Singapore

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Cite this paper

Zhang, Z., Xu, D., Liu, X. (2016). The Software Behavior Trend Prediction Based on HMM-ACO. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_60

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_60

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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